Dr.-Ing. Gerald Sequeira

Research
- AI-Assisted Vehicle Safety: Developing physics-combined AI models for real-time crash severity estimation.
- Injury Severity Prediction: Machine learning models for pre-crash assessment of occupant risk.
- Adaptive Restraint Strategies: Creating dynamic safety systems that adjust to crash-specific variables.
- Lidar-Based Sensing: High-precision vehicle contour estimation for enhanced spatial awareness.
- Advanced Crash Testing: Design and execution of research-oriented, non-standard crash tests.
Vita
- Since 01/2025: Postdoctoral Researcher (Projekt: KI-Safe), Funding: bidt (Bayerisches Forschungsinstitut für Digitale Transformation).
- Since 08/2022: Team Lead- Crash and Injury Severity, CARISSMA ISAFE
- Since 10/2013: Lecturer, Faculty: Electrical Engineering and Information Technology, TH Ingolstadt.
Subjects:
o Vehicle Crash Mechanics and Biomechanics
o Vehicle Electronics
o Integrale Fahrzeugsicherheit
o Fahrzeugaktorik
- 07/2016 – 08/2022: Doctorate "Prediction based activation of vehicle safety systems- A contribution to improve occupant safety by validation of pre-crash information and crash severity plus restraint strategy prediction”
- 06/2016 – 07/2022: Research Associate, CARISSMA
- 10/2013 – 05/2016: Research Associate, Centre for Applied Research (ZAF)
- 03/2012 - 12/2013: Master Studies in International Automotive Engineering, TH Ingolstadt
- 04/2011 - 03/2012: Scientific Officer-C, National Center for Radio Astrophysics, Pune, India: Responsible for design and development of radio telescope structure and workshop manager
Awards and Nominations
- Post-Doctoral Research Grant: 4-year funding and membership in the Bavarian Research Alliance (2024).
- City of Ingolstadt Excellence Prize: Awarded for outstanding scientific work and doctoral achievement (2022).
- Academic Excellence Scholarship: Awarded by the Bavarian State Ministry of Education, Science, and the Arts (2012).
Professional Contributions & Links
- Supervision: Mentor for numerous Bachelor’s and Master’s theses at TH Ingolstadt and various German universities.
- Project: KI-gestützte Sicherheitssysteme für Automatisiertes Fahren (KI-Safe)
- ResearchGate
Publikationen
2025
SEQUEIRA, Gerald Joy, Maximilian INDERST, Redjon XHIKU, Robert LUGNER und Thomas BRANDMEIER, 2025. Sigmoid-Based Method for Longitudinal Crash Pulse Prediction in Intelligent Vehicles. 2024 IEEE International Conference on Vehicular Electronics and Safety (ICVES). Piscataway: IEEE. ISBN 979-8-3503-8727-8. Available at: https://doi.org/10.1109/ICVES61986.2024.10927899